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A package for OpenCL based heterogeneous computing on clusters with many GPU devices
Heterogeneous systems provide new opportunities to increase the performance of parallel
applications on clusters with CPU and GPU architectures. Currently, applications that utilize …
applications on clusters with CPU and GPU architectures. Currently, applications that utilize …
Gossip-based aggregation of trust in decentralized reputation systems
Abstract Decentralized Reputation Systems have recently emerged as a prominent method
of establishing trust among self-interested agents in online environments. A key issue is the …
of establishing trust among self-interested agents in online environments. A key issue is the …
A morphable phase change memory architecture considering frequent zero values
Phase Change Memory (PCM) is emerging as a high-dense and power-efficient choice for
future main memory systems. While PCM cell size is marching towards minimum achievable …
future main memory systems. While PCM cell size is marching towards minimum achievable …
Multi-objective reinforcement learning for responsive grids
Grids organize resource sharing, a fundamental requirement of large scientific
collaborations. Seamless integration of Grids into everyday use requires responsiveness …
collaborations. Seamless integration of Grids into everyday use requires responsiveness …
[PDF][PDF] Node allocation in grid computing using optimal resource constraint (ORC) scheduling
The objective of grid computing is to distribute the jobs to heterogeneous environment and
increase the speed of processing the jobs. Most of the Grid tool kits use the First Come First …
increase the speed of processing the jobs. Most of the Grid tool kits use the First Come First …
Using SLA map** to increase market liquidity
Research into computing resource markets has mainly considered the allocative fairness of
market mechanisms. It has not been discussed how a large variety of resource types …
market mechanisms. It has not been discussed how a large variety of resource types …
Utility-based reinforcement learning for reactive grids
Large scale production grids are an important case for autonomic computing. They follow a
mutualization paradigm: decision-making (human or automatic) is distributed and largely …
mutualization paradigm: decision-making (human or automatic) is distributed and largely …
A framework for providing hard delay guarantees and user fairness in grid computing
We present and theoretically and experimentally analyze a Quality of Service (QoS)
framework for Grids that provides (i) deterministic delay bounds to Guaranteed Service (GS) …
framework for Grids that provides (i) deterministic delay bounds to Guaranteed Service (GS) …
Randomized gossip algorithms for maintaining a distributed bulletin board with guaranteed age properties
Scalable computer systems, including clusters and multi‐cluster grids, require routine
exchange of information about the state of system‐wide resources among their nodes …
exchange of information about the state of system‐wide resources among their nodes …
Recent advances and future prospects in single-electronics
Recent advances and future prospects in single-electronics Page 1 Recent Advances and
Future Prospects in Single-Electronics Christoph Wasshuber Texas Instruments PO. Box …
Future Prospects in Single-Electronics Christoph Wasshuber Texas Instruments PO. Box …